Les terroirs viticoles ont une histoire

Performing accurate vineyard yield estimation is of upmost importance as it provides important benefits to the whole vine and wine industry. Recently, image-analysis approaches have been explored to address this issue however this approach has as main challenge the bunch occlusion, mostly by vegetation but also by neighboring bunches. The present work aims at assessing the magnitude of bunch occlusion by neighboring bunches and to evaluate its dependency on a selection of vegetative and reproductive vine parameters assessed at fruiting zone. Forty vine segments (1 m) of two vineyard plots of the white cultivars ‘Alvarinho’ and ‘Arinto’ were assessed for vegetative and reproductive features at fruiting zone and imaged with a 2D camera.

The ‘Caiño’ cultivar was cultivated in Galicia (Northwestern Spain) before the invasion of grape phylloxera. Genetic diversity from this cultivar have been described and considered as originating in Galicia, ‘Caiño Tinto’, ‘Caiño Bravo’, ‘Caiño Redondo’, ‘Caiño Longo’ and ‘Caiño Blanco’.

In this video recording of the IVES science meeting 2025, Raffaele Guzzon (Fondazione Edmund Mach, Centro di Trasferimento Tecnologico, San Michele all’Adige (TN), Italy) speaks about the application of non-Saccharomyces yeasts in peculiar winemaking, sparkling and sweet wines (biological acidification, prise de mousse, aroma profile). This presentation is based on an original article accessible for free on OENO One.

The application of remote and proximal sensing in viticulture have been demonstrated as a fast and efficient method to monitor vegetative and physiological parameters of grapevines. The collection of these parameters could be highly valuable to derive information on associated yield and quality traits in the vineyard. However, to leverage the informative potential of the sensing systems, a series of preliminary evaluations should be carried out to standardize working protocols for the specific features of a winegrowing area (e.g., pedoclimate, topography, cultivar, training system). This work aims at evaluating remote and proximal sensing systems for their performance and suitability to provide information on the vegetative, physiological, yield and qualitative aspects of vines and grapes as a function of different training systems in the Valpolicella wine region (Verona, Italy).

Untargeted metabolomics has proven to be an effective method to study the impact of the terroir on metabolic profile of wines. In this context, the aim of this study was to evaluate the effects of different soil types on the chemical composition of Mediterranean red wines, through 1H-NMR metabolomics combined with chemometrics.Grapes from Nero d’Avola L. red cultivar cultivated on four different soil types were separately vinified to obtain four different red wines.One milliliter of raw wine was analyzed by means of a Bruker Avance II 400 spectrometer operating at 400.15 MHz